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Information Technology 🏢 Full Time ⭐️ Verified

Future Systems Architect (2026 Horizon)

Nebula Core Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are not just building for today; we are architecting the infrastructure of 2026 and beyond. Nebula Core Systems is seeking a visionary Future Systems Architect (2026 Horizon) to lead the development of next-generation cognitive computing infrastructures.

In this pivotal role, you will define the technical roadmap for our flagship products, ensuring we are not just keeping pace with the industry, but defining it. You will bridge the gap between theoretical AI breakthroughs and scalable, real-world engineering solutions. If you are obsessed with the future of computing and want to leave a legacy in the tech landscape, this is your opportunity.

Why join us?

  • Work on projects that are 3-5 years ahead of the market standard.
  • Competitive compensation and equity packages.
  • Access to state-of-the-art quantum computing resources.

Responsibilities

  • Architect Next-Gen AI: Design and deploy scalable, distributed neural network architectures capable of processing exabytes of data in real-time, optimized for the 2026 compute environment.
  • Roadmap Leadership: Define the 5-year technical vision, translating abstract futuristic concepts into concrete engineering milestones and quarterly deliverables.
  • Quantum Integration: Oversee the seamless integration of quantum processing units (QPUs) with classical AI workflows to solve optimization problems currently deemed impossible.
  • Prototyping: Spearhead the development of proof-of-concept prototypes for neuromorphic computing hardware and edge-AI devices.
  • Team Mentorship: Cultivate a high-performance engineering culture, mentoring junior architects and fostering a spirit of radical innovation.
  • Security & Compliance: Ensure all future-facing architectures adhere to the highest security standards and data privacy regulations.

Qualifications

  • Advanced Education: Ph.D. in Computer Science, Electrical Engineering, or a related field (or equivalent professional experience in cutting-edge tech).
  • Technical Mastery: Deep expertise in Python, C++, and Rust, with proven experience in machine learning frameworks (PyTorch, TensorFlow, JAX).
  • Future-Ready Skills: Demonstrated experience with quantum computing libraries (Qiskit, Cirq) or neuromorphic hardware simulation.
  • System Design: Proven track record of designing fault-tolerant, high-availability distributed systems at scale.
  • Innovation Mindset: A history of publishing patents or leading breakthrough research in advanced computing paradigms.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.

Required Skills

AI Quantum Computing Distributed Systems System Architecture Machine Learning Python C++ Rust Neural Networks Research Leadership

Ready to Take This Challenge?

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